Workflow capture or expert interview: which does your implementation need?

Suppose a new colleague needs to create a supplier record in a stable internal application. A clear sequence with screenshots, required fields and correction notes may be exactly the right deliverable. Test it by asking someone else to complete the task.

Scribe Capture creates workflow documentation from demonstrated work. Its current product page also describes AI suggestions for improving documented workflows. It would be inaccurate to describe the product as merely recording clicks or incapable of identifying improvements.

Scribe separately offers Optimize for analyzing how work happens and finding improvement opportunities. Evaluate the actual module and its data requirements; a short demonstration and organization-wide workflow analysis are different setups.

• Scribe Capture
• Scribe Optimize

Now suppose an engineer is replacing that supplier application. The demonstration shows an operator skipping a tax review. Was the supplier exempt? Was the existing application missing a control? Did someone approve a temporary workaround? Repeating the observed clicks cannot settle those questions.

A useful follow-up asks what made this case different, who can approve the exception, and whether the replacement should preserve it. The answer might be a rule, a pointer to authoritative policy, or an unresolved decision for another owner.

This supplier scenario is fictional. It illustrates a discovery problem, not a result obtained from Scribe or RuleFoundry. A good comparison must give each product its supported workflow and the same opportunity to obtain the expert's missing information.

Documentation tools can offer analysis and conversational assistance. Coding tools can detect ambiguity: Kiro, for example, analyzes requirements across logical conflicts, assumptions and missing edge cases, then asks clarifying questions. There is no useful dividing line where one category only observes and another is the only category allowed to reason.

RuleFoundry focuses on guided Extractions of expert knowledge and reviewable business logic. Its intended contribution is reducing the preparation and follow-up burden around getting the right person's explanation. That is something to evaluate, not a claim that alternatives cannot accomplish the job.

The fair question is how much work remains after using each option: what the expert still has to explain, what a reviewer must correct, and what an engineer still has to guess.

• Kiro requirements analysis
• How RuleFoundry works

A team can keep a procedural guide for training and use an expert conversation to clarify decisions for a software change. Start with the existing evidence so the expert does not have to repeat what is already clear. Focus the discussion on boundaries, conflicting sources and intended changes.

Keep three statements separate: the operator currently does this; the policy requires this; the replacement should do this. They may all differ for legitimate reasons. A reviewer should be able to see which statement supports the implementation decision.

This is a suggested working method, not a claim of an automatic integration between these products. RuleFoundry's recording/document imports and project-wide review are still in development at the time of writing.

For a how-to guide, measure whether another person can complete the task and how much correction the author needed. For business-rule discovery, measure supported rules, recovered exceptions, unresolved decisions and expert time. For an engineering handoff, ask whether someone can implement and test it without inventing a material business decision.

Include onboarding, manual editing, review and any follow-up calls in the effort estimate. Give a general assistant and a capable practitioner a fair attempt too; the cheapest sufficient workflow is a legitimate result.

This guide uses vendor documentation checked September 29, 2026 and constructed examples. It is not a hands-on comparative evaluation, and it establishes no quality ranking or measured time saving.

Choose a decision that is blocking delivery. Try an Extraction with the relevant expert, review the interpretation, and assess whether the resulting knowledge helps your team move forward. Useful understanding is the outcome to measure.